(20190308) IBM TUSZ Pre-Processed Data (v1.0.0): This is our first release of IBMPPD which preprocesses the TUH Seizure Detection Corpus using two methods, both of which use an FFT sliding window approach (STFT) in the beginning.
(20181217) Meysam Golmohammadi attended the ICMLA and presented his paper on Deep Architectures for Spatio-Temporal Modeling.
(20181206) NEDC TUH EEG Artifact Corpus (v1.0.0): This corpus was developed to aid in EEG event classification such as seizure detection.
NIH Cohort Retrieval
Electronic medical records (EMRs) collected at every hospital in the country collectively contain a staggering wealth of biomedical knowledge. This information is essential for conducting comparative effectiveness research. Uncovering clinical knowledge that enables comparative research is the primary goal of this project.
TUH EEG Corpus
Electroencephalography (EEG) is the recording of electrical activity along the scalp using an array of electrodes positioned strategically around a patient's head. The TUH EEG Corpus represents NEDC's first effort to provide a massive corpus available to the community.